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NestedTensor

Syntologyentry name in harvested coderead from the graph 2026-09-24

NestedTensor appears in the code Syntology harvested for 24 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 23 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named NestedTensor do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 24 of the 26 distinct code bodies named NestedTensor; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
24ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 26 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

24 papers shown of 24, newest first; 26 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Prior-Guided DETR for Ultrasound Nodule Detection added by Syntology 2026-01 (from id) wjj1wjj/Ultrasound-DETR/models/dn_dab_deformable_detr/dab_deformable_detr.py 5fcd889ee3ae8609 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling 10 Oct 2024 linhuixiao/hivg/models/HiVG.py 5a5b1be86e3ab9a4 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding 3 Jul 2024 WeitaiKang/SegVG/models/SegVG.py b636bcda4557023e ran · metamorphic tier: deterministic no licence file found · pointer only
Bridging the Gap Between End-to-End and Two-Step Text Spotting 6 Apr 2024 mxin262/estextspotter/models/ests/ests.py 6efd3189a09cd0af ran · metamorphic tier: deterministic no licence file found · pointer only
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition 28 Mar 2024 alibabaresearch/advancedliteratemachinery/OCR/OmniParser/model/omniparser.py 884dfe13daaf09f7 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation 18 Mar 2024 buxiangzhiren/VD-IT/models/diffvos_cross.py 04e2b0ca4fcbb7b1 ran · metamorphic tier: deterministic licence not identified · pointer only
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking 28 Jul 2023 MCG-NJU/MeMOTR/models/memotr.py 9e000b2a48eac77c ran MIT (permissive)
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos 25 Mar 2023 MinghanLi/MDQE_CVPR2023/mdqe/models/mdqe.py 07f457fdc5fd31da ran · metamorphic tier: deterministic no licence file found · pointer only
Joint Visual Grounding and Tracking with Natural Language Specification 21 Mar 2023 lizhou-cs/JointNLT/lib/models/JointNLT.py d2de70e6e6e2beee ran · metamorphic tier: deterministic MIT (permissive)
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining 10 Mar 2023 OpenGVLab/HumanBench/PATH/core/models/backbones/vitdet_for_ladder_attention_share_pos_embed.py 39af89396152713c ran · metamorphic tier: deterministic MIT (permissive)
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking 25 Jan 2023 chamathabeysinghe/da-tracker/src/trackformer/models/detr_tracking.py da09cbd482f7f33f ran · metamorphic tier: deterministic Apache-2.0 (permissive)
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation 19 Oct 2022 air-discover/toist/models/mdetr.py c2fbce65b2ac327b unverified MIT (permissive)
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding 27 Sep 2022 jy0205/stcat/models/pipeline.py 60a2fb58c9949c1d ran Apache-2.0 (permissive)
Detecting and Recovering Sequential DeepFake Manipulation 5 Jul 2022 rshaojimmy/seqdeepfake/models/SeqFakeFormer.py f10b0094723ad545 ran no licence file found · pointer only
Text Spotting Transformers 5 Apr 2022 mlpc-ucsd/TESTR/adet/modeling/testr/models.py d515f52b31b887cc ran Apache-2.0 (permissive)
Collaborative Transformers for Grounded Situation Recognition 30 Mar 2022 towhee-io/towhee/towhee/models/coformer/coformer.py 42fe8f9fc92da57d ran Apache-2.0 (permissive)
Collaborative Transformers for Grounded Situation Recognition 30 Mar 2022 jhcho99/CoFormer/models/coformer.py 8ae3464a294cdaed ran · metamorphic tier: deterministic Apache-2.0 (permissive)
TubeDETR: Spatio-Temporal Video Grounding with Transformers 30 Mar 2022 antoyang/TubeDETR/models/tubedetr.py db74b3e6e32586fb ran Apache-2.0 (permissive)
Open-Vocabulary DETR with Conditional Matching 22 Mar 2022 yuhangzang/OV-DETR/ovdetr/models/model.py a59cf95e6b922e44 ran no licence file found · pointer only
Towards Data-Efficient Detection Transformers 17 Mar 2022 encounter1997/de-conddetr/models/conditional_detr.py 38eda343ff956bb1 ran Apache-2.0 (permissive)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR 28 Jan 2022 helq2612/biadt/models/dn_dab_deformable_detr/dab_deformable_detr.py d336c6095b11629a ran · metamorphic tier: deterministic Apache-2.0 (permissive)
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans 20 Mar 2021 woodfrog/poly-diffuse/src/models/polygon_models/polygon_net.py ace1b7ccab9cd45a ran · metamorphic tier: deterministic GPL-3.0 (copyleft) · pointer only
Deformable DETR: Deformable Transformers for End-to-End Object Detection 8 Oct 2020 duongnv0499/Explain-Deformable-DETR/models/deformable_detr.py a0958f4fe260b7bf ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Deformable DETR: Deformable Transformers for End-to-End Object Detection 8 Oct 2020 zhechen/deformable-detr-rego/models/deformable_detr.py 6e981ab142d64bc6 unverified Apache-2.0 (permissive)
End-to-End Object Detection with Transformers 26 May 2020 Li-ai-cell/Interpretation_DETR/models/deformable_detr.py b3bc5ccabebb6be8 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
arXiv:Nguyen_Region-Level_Data_Attribution_for_Text-to-Image_Generative_Models_ICCV_2025_paper AIoT-Lab-BKAI/AR-Detector/models/GroundingDINO/groundingdino.py 8edcd8b335f324e7 ran · metamorphic tier: deterministic no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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